Saupe, Dietmar
0000-0001-6735-5103 Forschungsvorhaben
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Saupe
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Dietmar
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23 Ergebnisse
Suchergebnisse Publikationen
Gerade angezeigt 1 - 10 von 23
- VeröffentlichungBeitrag zu einem KonferenzbandJPEG AIC-3 Dataset : Towards Defining the High Quality to Nearly Visually Lossless Quality Range(2023) Testolina, Michela; Hosu, Vlad; Jenadeleh, Mohsen; Lazzarotto, Davi; Saupe, Dietmar; Ebrahimi, TouradjErschienen in: 15th International Conference on Quality of Multimedia Experience (QoMEX). Piscataway, NJ: IEEE, 2023. ISBN 979-8-3503-1174-7. Available under: doi: 10.1109/qomex58391.2023.10178554
- VeröffentlichungZeitschriftenartikelCritical analysis on the reproducibility of visual quality assessment using deep features(2022) Götz-Hahn, Franz; Hosu, Vlad; Saupe, DietmarErschienen in: PLoS ONE. Public Library of Science (PLoS). 2022, 17(8), e0269715. eISSN 1932-6203. Available under: doi: 10.1371/journal.pone.0269715
- VeröffentlichungZeitschriftenartikelLarge-scale crowdsourced subjective assessment of picturewise just noticeable difference(2022) Lin, Hanhe; Chen, Guangan; Jenadeleh, Mohsen; Hosu, Vlad; Reips, Ulf-Dietrich; Hamzaoui, Raouf; Saupe, DietmarErschienen in: IEEE Transactions on Circuits and Systems for Video Technology. IEEE. 2022, 32(9), pp. 5859-5873. ISSN 1051-8215. eISSN 1558-2205. Available under: doi: 10.1109/TCSVT.2022.3163860
- VeröffentlichungBeitrag zu einem KonferenzbandKonIQ++ : Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects(2021) Su, Shaolin; Hosu, Vlad; Lin, Hanhe; Zhang, Yanning; Saupe, DietmarErschienen in: The British Machine Vision Conference (BMVC). 2021, pp. 1-12
- VeröffentlichungZeitschriftenartikelKonVid-150k : A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild(2021) Götz-Hahn, Franz; Hosu, Vlad; Lin, Hanhe; Saupe, DietmarErschienen in: IEEE Access. IEEE. 2021, 9, pp. 72139-72160. eISSN 2169-3536. Available under: doi: 10.1109/ACCESS.2021.3077642
- VeröffentlichungZeitschriftenartikelSubjective annotation for a frame interpolation benchmark using artefact amplification(2020) Men, Hui; Hosu, Vlad; Lin, Hanhe; Bruhn, Andrés; Saupe, DietmarErschienen in: Quality and User Experience. Springer. 2020, 5(1), 8. ISSN 2366-0139. eISSN 2366-0147. Available under: doi: 10.1007/s41233-020-00037-y
- VeröffentlichungZeitschriftenartikelKonIQ-10k : An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment(2020) Hosu, Vlad; Lin, Hanhe; Sziranyi, Tamas; Saupe, DietmarErschienen in: IEEE Transactions on Image Processing. IEEE. 2020, 29, pp. 4041-4056. ISSN 1057-7149. eISSN 1941-0042. Available under: doi: 10.1109/TIP.2020.2967829
- VeröffentlichungBeitrag zu einem KonferenzbandFrom Technical to Aesthetics Quality Assessment and Beyond : Challenges and Potential(2020) Hosu, Vlad; Saupe, Dietmar; Goldlücke, Bastian; Lin, Weisi; Cheng, Wen-Huang; See, John; Wong, Lai-KuanErschienen in: HOSU, Vlad, ed. and others. ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends. New York: ACM, 2020, pp. 19-20. ISBN 978-1-4503-8154-3. Available under: doi: 10.1145/3423268.3423589
- VeröffentlichungBeitrag zu einem KonferenzbandFoveated Video Coding for Real-Time Streaming Applications(2020) Wiedemann, Oliver; Hosu, Vlad; Lin, Hanhe; Saupe, DietmarErschienen in: 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). Piscataway, NJ: IEEE, 2020. ISSN 2372-7179. eISSN 2472-7814. ISBN 978-1-72815-965-2. Available under: doi: 10.1109/QoMEX48832.2020.9123080
- VeröffentlichungBeitrag zu einem KonferenzbandVisual Quality Assessment for Interpolated Slow-motion Videos based on a Novel Database(2020) Men, Hui; Hosu, Vlad; Lin, Hanhe; Bruhn, Andres; Saupe, DietmarErschienen in: 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). Piscataway, NJ: IEEE, 2020. eISSN 2472-7814. ISBN 978-1-72815-965-2. Available under: doi: 10.1109/QoMEX48832.2020.9123096
